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Objective: The aim of this study is to assess the relationship between eye-tracking measures and perceived workload in robotic surgical tasks.Background: Robotic techniques provide improved dexterity, stereoscopic vision, and ergonomic control system over laparoscopic surgery, but the complexity of the interfaces and operations may pose new challenges to surgeons and compromise patient safety. Limited studies have objectively quantified workload and its impact on performance in robotic surgery. Although not yet implemented in robotic surgery, minimally intrusive and continuous eye-tracking metrics have been shown to be sensitive to changes in workload in other domains.Methods: Eight surgical trainees participated in 15 robotic skills simulation sessions. In each session, participants performed up to 12 simulated exercises. Correlation and mixed-effects analyses were conducted to explore the relationships between eye-tracking metrics and perceived workload. Machine learning classifiers were used to determine the sensitivity of differentiating between low and high workload with eye-tracking features.Results: Gaze entropy increased as perceived workload increased, with a correlation of .51. Pupil diameter and gaze entropy distinguished differences in workload between task difficulty levels, and both metrics increased as task level difficulty increased. The classification model using eye-tracking features achieved an accuracy of 84.7% in predicting workload levels.Conclusion: Eye-tracking measures can detect perceived workload during robotic tasks. They can potentially be used to identify task contributors to high workload and provide measures for robotic surgery training.Application: Workload assessment can be used for real-time monitoring of workload in robotic surgical training and provide assessments for performance and learning. [ABSTRACT FROM AUTHOR]

Background: Reliable prediction of operative duration is essential for improving patient and care team satisfaction, optimizing resource utilization and reducing cost. Current operative scheduling systems are unreliable and contribute to costly over- and underestimation of operative time. We hypothesized that the inclusion of patient-specific factors would improve the accuracy in predicting operative duration.Methods: We reviewed all elective laparoscopic cholecystectomies performed at a single institution between 01/2007 and 06/2013. Concurrent procedures were excluded. Univariate analysis evaluated the effect of age, gender, BMI, ASA, laboratory values, smoking, and comorbidities on operative duration. Multivariable linear regression models were constructed using the significant factors (p < 0.05). The patient factors model was compared to the traditional surgical scheduling system estimates, which uses historical surgeon-specific and procedure-specific operative duration. External validation was done using the ACS-NSQIP database (n = 11,842).Results: A total of 1801 laparoscopic cholecystectomy patients met inclusion criteria. Female sex was associated with reduced operative duration (-7.5 min, p < 0.001 vs. male sex) while increasing BMI (+5.1 min BMI 25-29.9, +6.9 min BMI 30-34.9, +10.4 min BMI 35-39.9, +17.0 min BMI 40 + , all p < 0.05 vs. normal BMI), increasing ASA (+7.4 min ASA III, +38.3 min ASA IV, all p < 0.01 vs. ASA I), and elevated liver function tests (+7.9 min, p < 0.01 vs. normal) were predictive of increased operative duration on univariate analysis. A model was then constructed using these predictive factors. The traditional surgical scheduling system was poorly predictive of actual operative duration (R 2 = 0.001) compared to the patient factors model (R 2 = 0.08). The model remained predictive on external validation (R 2 = 0.14).The addition of surgeon as a variable in the institutional model further improved predictive ability of the model (R 2 = 0.18).Conclusion: The use of routinely available pre-operative patient factors improves the prediction of operative duration during cholecystectomy. [ABSTRACT FROM AUTHOR]

Introduction: Single-incision laparoscopic cholecystectomy (SILC) may lead to higher patient satisfaction; however, SILC may expose the surgeon to increased workload. The goal of this study was to compare surgeon stress and workload between SILC and conventional laparoscopic cholecystectomy (CLC).Methods: During a double-blind randomized controlled trial comparing patient outcomes for SILC versus CLC (NCT0148943), surgeon workload was assessed by four measures: surgery task load index questionnaire (Surg-TLX), maximum heart rate, salivary cortisol level, and instruments usability survey. The maximum heart rate and salivary cortisol levels were sampled from the surgeon before the random assignment of the surgical procedure, intraoperatively after the cystic duct was clipped, and at skin closure. After each procedure, the surgeon completed the Surg-TLX and an instrument usability survey. Student's t tests, Wilcoxon rank sum test, and Kruskal-Wallis nonparametric ANOVAs on the dependent variables by the technique (SILC vs. CLC) were performed with α = 0.05.Results: Twenty-three SILC and 25 CLC procedures were included in the intent-to-treat analysis. No significant differences were observed between SILC and CLC for patient demographics and procedure duration. SILC had significantly higher post-surgery surgeon maximum heart rates than CLC (p < 0.05). SILC also had significantly higher mean change in the maximum heart rate between during and post-procedure (p < 0.05) than CLC. Salivary cortisol level was significantly higher during SILC than CLC (p < 0.01). Awkward manipulation of the instruments and limited fine motions were reported significantly more frequently with SILC than CLC (p < 0.01). In the surgeon-reported Surg-TLX, subscale of physical demand was significantly more demanding for SILC than CLC (p < 0.05).Conclusions: Surgeon heart rate, salivary cortisol level, instrument usability, and Surg-TLX ratings indicate that SILC is significantly more stressful and physically demanding than the CLC. Surgeon stress and workload may impact patients' outcomes; thus, ergonomic improvement on SILC is necessary. [ABSTRACT FROM AUTHOR]

Background: Assessment of residents' body positioning during laparoscopy has not been adequately investigated. This study presents a novel computer vision technique to automate ergonomic evaluation and demonstrates this approach through simulated laparoscopy. Methods: Surgical residents at a single academic institution were video recorded performing tasks from the Fundamentals of Laparoscopic Surgery (FLS). Ergonomics were assessed by 2 raters using the Rapid Upper Limb Assessment (RULA) tool. Additionally, a novel computer software program was used to measure ergonomics from the video recordings. All participants completed a survey on musculoskeletal complaints, which was graded by severity. Results: Ten residents participated; all performed FLS in postures that exceeded acceptable ergonomic risks as determined by both the human and computerized RULA scores (P <.001). Lower-level residents scored worse than upper-level residents on the human-graded RULA assessment (P =.04). There was no difference in computer-graded RULA scores by resident level (P =.39) and computer-graded scores did not correlate with human scores (P =.75). Shoulder and wrist position were the greatest contributors to higher computer-graded scores (P <.001). Self-reported musculoskeletal complaints did not differ at resident level (P =.74); however, all residents reported having at least 1 form of musculoskeletal complaint occurring "often." Conclusions: Surgery residents demonstrated suboptimal ergonomics while performing simulated laparoscopic tasks. A novel computer program to measure ergonomics did not agree with the scores generated by the human raters, although it concluded that resident ergonomics remain a concern, especially regarding shoulder and wrist positioning. [ABSTRACT FROM AUTHOR]